School of Business · MSBA
MSc in Business Analytics (MSBA)
Turn data into business decisions: a Python and SQL bootcamp, machine learning and a 12-week industry capstone with a partner organisation.
Who it is for
- Working professionals with 1 to 5 years of experience who want to move into an analytics role
- Business, economics, engineering, science and computing graduates
- People already in a data-adjacent role (reporting, operations, finance) who want formal training
Where students come from
What you will study
- Pre-term. Python and SQL bootcamp, 2 weeks
- Term 1. Statistics for business, data management, visualisation
- Term 2. Machine learning, optimisation, and one elective track: finance, marketing or operations analytics
- Term 3. Industry capstone, 12 weeks with a partner organisation
Entry requirements
| Degree | A completed bachelor degree from a recognised university. |
|---|---|
| Minimum CGPA | 3.0 on the 4.0 scale. Grades on other scales are converted first using the country grade equivalency table. |
| Work experience | At least 1 year of full-time work experience by the intake start date. Internships and part-time work are not counted. |
| English | IELTS Academic 6.5 overall with no band below 6.0, or TOEFL iBT 90. Waived if your bachelor degree was taught and examined in English. |
| Referees | Two referees. At least one must be a current or recent line manager. |
- Consider the MSc in Management if you want a general management foundation.
- Consider the MSc in Finance if you are focused on capital markets or corporate finance.
Fees
- Programme fee
- SGD 62,000 for the full programme, including GST
- Paying the fee
- Full-time: two instalments, at the start of Term 1 and Term 2. Part-time: four instalments, one each semester.
- Application fee
- SGD 100, paid at submission, non-refundable
- Deposit
- SGD 5,000 within 21 days of your offer, counted towards tuition
Fees cover tuition, course materials and health insurance for full-time students. They do not cover housing, living costs or the Student's Pass fee. See fees and policies.
Intakes & deadlines
| Intake | Classes start | Application deadline | Census date |
|---|---|---|---|
| January 2027 | 11 Jan 2027 | 15 Oct 2026, 11:59 PM SGT | 25 Jan 2027 |
| August 2027 | 9 Aug 2027 | 15 May 2027, 11:59 PM SGT | 23 Aug 2027 |
Late applications are not accepted. References are due seven days after the application deadline.
Scholarships
Analytics Merit Scholarship
- Who it is for
- CGPA 3.6 or above on the 4.0 scale after country grade conversion.
- How to apply
- Automatic. No separate form. Assessed at offer stage.
- Notes
- Cannot be combined with the Early Commitment Award.
Early Commitment Award
- Who it is for
- Offer accepted and deposit paid within 21 days of the offer date.
- How to apply
- Automatic once the deposit clears.
- Notes
- Not available if you defer to a later intake.
One award per candidate. See all scholarships.
Careers
Hiring is concentrated in data, risk and product analytics. Most common first roles:
- Data analyst
- Business analyst
- Risk analyst
- Product analyst
Typical employers: Banks, e-commerce and ride-hailing platforms, consultancies, government agencies. Source: School of Business Graduate Employment Survey 2025, n=112, 94% response rate. Salaries are gross monthly pay in Singapore dollars, excluding bonuses. Placement is not guaranteed.
Events
MSc Business Analytics: Programme Overview and Admissions
17 Sep 2026, 7:00 PM SGT · 60 minutes
The programme director walks through the curriculum, the capstone and the admissions process, with live Q&A.
Analytics Careers: Alumni Panel
23 Jul 2026, 7:00 PM SGT · 75 minutes
Four alumni from banking, e-commerce and consulting on what they do day to day and how they got hired.
Recordings are sent by email on request. Sessions for the next intake will be listed on the events page.
How to apply
Follow the admissions process. Alongside the standard documents, this programme asks for:
- One 500-word statement on why analytics and what you want to do after the programme
- Transcript pages showing any quantitative modules taken
- Evidence of at least 1 year of full-time work: employment letters or three recent payslips